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On the Automated Translational Execution of the Action Language for Foundational UML
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. IS (Embedded Systems).ORCID iD: 0000-0002-0401-1036
2018 (English)In: Software and Systems Modeling, ISSN 1619-1366, E-ISSN 1619-1374, Vol. 17, no 4, p. 1311-1337Article in journal (Refereed) Published
Abstract [en]

To manage the rapidly growing complexity of software development, abstraction and automation have been recognised as powerful means. Among the techniques pushing for them, Model-Driven Engineering has gained increasing attention from industry for, amongst others, the possibility to automatically generate code from models. To generate fully executable code, models should describe complex behaviours. While pragmatically this is achieved by employing programming languages for defining actions within models, the abstraction gap between modelling and programming languages can undermine consistency between models and code as well as analysability and reusability of models. In light of this, model-aware action languages should be preferred. This is the case of the Action Language for Foundational UML (ALF). In this paper we provide a solution for the fully automated translational execution of ALF towards C++. Additionally, we give an insight on how to simplify the transition from the use of programming languages for modelling fine-grained behaviours to model-aware action languages in industrial MDE. The solution presented in this paper has been assessed on industrial applications to verify its applicability to complex systems as well as its scalability.

Place, publisher, year, edition, pages
2018. Vol. 17, no 4, p. 1311-1337
Keywords [en]
model-driven engineering, translational execution, code generation, UML, ALF
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-33783DOI: 10.1007/s10270-016-0556-7ISI: 000453101000011PubMedID: 30220904Scopus ID: 2-s2.0-84991393494OAI: oai:DiVA.org:mdh-33783DiVA, id: diva2:1048544
Projects
SMARTCore: Model-driven support for deployment optimization of embedded systems on multicoreAvailable from: 2016-11-21 Created: 2016-11-21 Last updated: 2024-01-17Bibliographically approved

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Ciccozzi, Federico

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